Image Classification Techniques- A Survey

Priya Pradip Naswale, P. E. Ajmire

Abstract Image classification is the most important process in pattern recognition. In general, this is a final stage of pattern matching. The classification process described the percentage of accuracy in pattern recognition. Feature extraction is another vital stage in pattern matching. These extracted feature are used for classification of the image database, that is pattern matching. The various researchers used different classification techniques for different application,support vector machine used for character recognition. Neural Network Techniques are used for Artificial Intelligent application and soft computing. These paper deals with the study of different classification techniques used for image classification. Keywords:Classification, Pattern recognition, Support Vector Machine, Neural Network.

Title:	Image Classification Techniques- A Survey
Author Name:	Priya Pradip Naswale, P. E. Ajmire
Abstract:	Abstract Image classification is the most important process in pattern recognition. In general, this is a final stage of pattern matching. The classification process described the percentage of accuracy in pattern recognition. Feature extraction is another vital stage in pattern matching. These extracted feature are used for classification of the image database, that is pattern matching. The various researchers used different classification techniques for different application,support vector machine used for character recognition. Neural Network Techniques are used for Artificial Intelligent application and soft computing. These paper deals with the study of different classification techniques used for image classification. Keywords:Classification, Pattern recognition, Support Vector Machine, Neural Network.
Cite this article:	Priya Pradip Naswale, P. E. Ajmire , " Image Classification Techniques- A Survey " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 5, Issue 2, March - April 2016 , pp. 236-239 , ISSN 2278-6856.
Full Text [PDF] Home